Infrastructure Enhancements for CAV Navigation [supporting dataset]

Al-Qadi, Imad L.; Okte, Egemen; Roesler, Jeffery R.; Meidani, Hadi; Ouyang, Yanfeng; Dahal, Sachindra; Kazemi, Amirkhosro; Ramakrishnan, Aravind; She, Ruifeng; Ozer, Hasan; University of Illinois at Urbana-Champaign. Department of Civil and Environmental Engineering; Illinois Center for Transportation

doi:10.4231/2EEQ-3R20

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Infrastructure Enhancements for CAV Navigation [supporting dataset]

2022-01-04
See Associated Publication(s)
By Al-Qadi, Imad L. ; Okte, Egemen ; Roesler, Jeffery R. ; ...

[PDF-193.84 KB]

English

Details Supporting Files Publications You May Also Like

Details:

Alternative Title:

Multifront Approach for Improving Navigation of Autonomous and Connected Trucks
Creators:

Al-Qadi, Imad L. ; Okte, Egemen ; Roesler, Jeffery R. ; Meidani, Hadi ; Ouyang, Yanfeng ; ... More +

Al-Qadi, Imad L. ; Okte, Egemen ; Roesler, Jeffery R. ; Meidani, Hadi ; Ouyang, Yanfeng ; Dahal, Sachindra ; Kazemi, Amirkhosro ; Ramakrishnan, Aravind ; She, Ruifeng ; Ozer, Hasan Less -
Corporate Creators:

University of Illinois at Urbana-Champaign. Department of Civil and Environmental Engineering ; Illinois Center for Transportation

University of Illinois at Urbana-Champaign. Department of Civil and Environmental Engineering ; Illinois Center for Transportation Less -
Corporate Contributors:

Center for Connected and Automated Transportation (CCAT) ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program

Center for Connected and Automated Transportation (CCAT) ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program Less -
Subject/TRT Terms:

[+]

Autonomous Vehicles Cameras Connected Vehicles Global Positioning System Infrastructure Laser Radar Mobile Communication Systems Navigation Radar Radio Frequency Identification Sensors Ultrasonic Sensor Vehicle To Infrastructure Communications
Publication/ Report Number:

ICT-20-008, UILU-ENG-2020-2008
DOI:

https://doi.org/10.4231/2EEQ-3R20
Resource Type:

Dataset
Geographical Coverage:

United States
Corporate Publisher:

University of Michigan. Center for Connected and Automated Transportation
Abstract:

This report presents a review of the main sensors used in connected and autonomous vehicles (CAVs). Radar, ultrasonic sensors, a global positioning system, radio-frequency identification, lidar, cameras, inertial measurement units, and capacitive–proximity sensors were detailed, listing their working principles, advantages, and disadvantages. Based on the review, potential measures to address their drawbacks and enhance control and guidance of CAV were proposed. The measures mainly consist of modification of electromagnetic, optical, and thermal properties of infrastructure materials in order for vehicles to communicate with the infrastructure.
Format:

ZIP
Funding:

69A3551747105
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:2bb3ec388a91f0d40814168d6d93da11be43eccd4d8d1e0c641caee3c5610407
Download URL:

https://rosap.ntl.bts.gov/view/dot/61994/dot_61994_DS1.pdf
File Type:

Metadata File

json

More +